NDLI: A Neuro-Fuzzy Model for Simulating Outer Hair Cell of Human Cochlea

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Balaje, T. Thumati Naidu, D. Subbaram Stout, Larry
Copyright Year	2005
Abstract	Understanding the functioning of the human auditory system has been of interest for decades and many mathematical models have been developed based on experimental results. Many of these models address the key components of the human auditory system: outer ear, middle ear, and inner ear, which consists of cochlea and organ of corti. In this paper, a novel approach for human auditory model is developed that is based on the concepts of fuzzy logic for simulating basilar membrane and stereocilia, and a feed-forward neural network for simulating outer hair cell of the inner ear. Frequency, intensity and the direction of stereocilia movement are the three inputs to the fuzzy logic portion of the model. The output of this block is the net force, which becomes the input to the neural network. The implementation and simulated results using MATLAB® are presented.
Sponsorship	Bioengineering Division
Starting Page	73
Ending Page	74
Page Count	2
File Format	PDF
ISBN	0791842134
DOI	10.1115/IMECE2005-80644
e-ISBN	0791837696
Volume Number	Advances in Bioengineering
Conference Proceedings	ASME 2005 International Mechanical Engineering Congress and Exposition
Language	English
Publisher Date	2005-11-05
Publisher Place	Orlando, Florida, USA
Access Restriction	Subscribed
Subject Keyword	Fuzzy logic Basilar membrane Neural networks Outer hair cell Feedforward control Membranes Artificial neural networks Ear
Content Type	Text
Resource Type	Article

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